==============
npm install copper3d-tree==============
- For more easier to develop vue app.
``javascript
//Import library
import createKDTree from "copper3d-tree";
//Create a bunch of points
var points = [
[0, 1, 100],
[-5, 0.11, Math.PI],
[0, 10, -13],
// ...
[4, 3, 1],
];
//Create the tree
var tree = createKDTree(points);
//Iterate over all points in the bounding box
tree.range([-1, -1, -1], [10, 1, 2], function (idx) {
console.log("visit:", idx); //idx = index of point in points array
});
//Can also search in spheres
tree.rnn([0, 0, 0], 10, function (idx) {
console.log("point " + idx + " is in sphere at origin with radius=10");
});
//Nearest neighbor queries
console.log("index of closest point to [0,1,2] is ", tree.nn([0, 1, 2]));
//And k-nearest neighbor queries
console.log(
"index of 10 closest points to [0,1,2] are ",
tree.knn([0, 1, 2], 10)
);
//For performance, be sure to delete tree when you are done with it
tree.dispose();
`
`sh`
npm install copper3d-tree
`javascript`
import createKDTree from "copper3d-tree";
By convention, let n denote the number of points and d` denote the dimension of the kdtree.
Mikola Lysenko